Uses of Interface
com.aliasi.util.Distance

Packages that use Distance

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.cluster	Classes for clustering data and evaluation.
com.aliasi.matrix	Classes for matrices and vectors.
com.aliasi.spell	Classes for spelling correction and edit distance.

Uses of Distance in com.aliasi.classify

Constructors in com.aliasi.classify with parameters of type Distance

Constructor and Description
KnnClassifier(FeatureExtractor<? super E> featureExtractor, int k, Distance<Vector> distance) Construct a k-nearest-neighbor classifier based on the specified feature extractor, specified maximum number of neighbors, and specified distance function.

Uses of Distance in com.aliasi.cluster

Methods in com.aliasi.cluster that return Distance

Modifier and Type	Method and Description
Distance<? super E>	AbstractHierarchicalClusterer.distance() Returns the distance function for this hierarchical clusterer.

Methods in com.aliasi.cluster with parameters of type Distance

Modifier and Type	Method and Description
double	Dendrogram.copheneticCorrelation(Distance<? super E> distance) Returns the Pearson correlation coefficient between the inter-object distances and the cophenetic distances defined by this dendrogram.
static <E> double	ClusterScore.scatter(Set<? extends E> cluster, Distance<? super E> distance) Returns the scatter for the specified cluster based on the specified distance.
double	Dendrogram.withinClusterScatter(int numClusters, Distance<? super E> distance) Returns the within-cluster scatter relative to the specified distance of the clustering determined by splitting this dendrogram into the specified number of clusters.
static <E> double	ClusterScore.withinClusterScatter(Set<? extends Set<? extends E>> clustering, Distance<? super E> distance) Returns the within-cluster scatter measure for the specified clustering with respect to the specified distance.

Constructors in com.aliasi.cluster with parameters of type Distance

Constructor and Description
AbstractHierarchicalClusterer(double maxDistance, Distance<? super E> distance) Construct an abstract hierarchical clusterer with the specified maximum distance.
CompleteLinkClusterer(Distance<? super E> distance) Construct a complete link clusterer with no distance bound.
CompleteLinkClusterer(double maxDistance, Distance<? super E> distance) Construct a complete link clusterer with the specified distance bound.
SingleLinkClusterer(Distance<? super E> distance) Construct a single-link clusterer with no distance bound.
SingleLinkClusterer(double maxDistance, Distance<? super E> distance) Construct a single-link clusterer with the specified distance bound.

Uses of Distance in com.aliasi.matrix

Classes in com.aliasi.matrix that implement Distance

Modifier and Type	Class and Description
class	EuclideanDistance The EuclideanDistance class implements standard Euclidean distance between vectors.
class	MinkowskiDistance The MinkowskiDistance class implements Minkowski distance of a fixed order between vectors.
class	TaxicabDistance The TaxicabDistance class implements standard taxicab, or Manhattan distance between vectors.

Uses of Distance in com.aliasi.spell

Classes in com.aliasi.spell that implement Distance

Modifier and Type	Class and Description
class	EditDistance The EditDistance class implements the standard notion of edit distance, with or without transposition.
class	FixedWeightEditDistance A FixedWeightEditDistance sets constant weights for the edit operations for weighted edit distance.
class	JaccardDistance The JaccardDistance class implements a notion of distance based on token overlap.
class	JaroWinklerDistance The JaroWinklerDistance class implements the original Jaro string comparison as well as Winkler's modifications.
class	TfIdfDistance The TfIdfDistance class provides a string distance based on term frequency (TF) and inverse document frequency (IDF).
class	TokenizedDistance The TokenizedDistance class provides an underlying implementation of string distance based on comparing sets of tokens.
class	WeightedEditDistance The WeightedEditDistance class implements both the proximity and distance interfaces based on the negative proximity weights assigned to independent atomic edit operations.

Fields in com.aliasi.spell declared as Distance

Modifier and Type	Field and Description
static Distance<CharSequence>	EditDistance.NON_TRANSPOSING Edit distance disallowing transposition.
static Distance<CharSequence>	EditDistance.TRANSPOSING Edit distance allowing transposition.